11-06, 09:00–10:30 (US/Eastern), Winter Garden
A beginner level hands-on introduction to BigQuery DataFrames. Please bring your laptop! There is nothing to install in advance.
This hands-on tutorial will include a mix of slides and programming examples.
If you have used DataFrames in Python before you know there are times when you get limited by local compute and memory for large scale data processing or ML training. BigQuery DataFrames is an open source library that takes away that limitation without having to rewrite the code. Learn more about this transparent scaling and other exciting additions that can change how you develop data and ML applications.
We'll cover using BigQuery DataFrames with structured and unstructured data, including with traditional machine learning algorithms and LLMs. There is nothing to install in advance, and no credit card is required. This tutorial is a great way to get started with BigQuery DataFrames, and the speakers will be available after to chat with you 1:1.
No previous knowledge expected
Tim Swena is the team lead for the BigQuery DataFrames project at Google. He is an active participant in the Python data science community and passionate about open source tools that enable data literacy and science.